A large-scale immuno-epidemiological simulation of influenza A epidemics

Lukens, S and Depasse, J and Rosenfeld, R and Ghedin, E and Mochan, E and Brown, ST and Grefenstette, J and Burke, DS and Swigon, D and Clermont, G (2014) A large-scale immuno-epidemiological simulation of influenza A epidemics. BMC Public Health, 14 (1).

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Abstract

Background: Agent based models (ABM) are useful to explore population-level scenarios of disease spread and containment, but typically characterize infected individuals using simplified models of infection and symptoms dynamics. Adding more realistic models of individual infections and symptoms may help to create more realistic population level epidemic dynamics.

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Details

Item Type:	Article
Status:	Published
Creators/Authors:	Creators Email Pitt Username ORCID Lukens, S Depasse, J Rosenfeld, R Ghedin, E elg21@pitt.edu ELG21 Mochan, E Brown, ST Grefenstette, J gref@pitt.edu GREF Burke, DS donburke@pitt.edu DONBURKE Swigon, D swigon@pitt.edu SWIGON Clermont, G cler@pitt.edu CLER 0000-0002-0163-1379
Centers:	Other Centers, Institutes, Offices, or Units > Center for Vaccine Research
Date:	29 September 2014
Date Type:	Publication
Journal or Publication Title:	BMC Public Health
Volume:	14
Number:	1
DOI or Unique Handle:	10.1186/1471-2458-14-1019
Schools and Programs:	Dietrich School of Arts and Sciences > Mathematics Graduate School of Public Health > Biostatistics Graduate School of Public Health > Epidemiology School of Medicine > Computational and Systems Biology School of Medicine > Critical Care Medicine
Refereed:	Yes
Date Deposited:	05 May 2015 16:57
Last Modified:	30 Mar 2021 13:56
URI:	http://d-scholarship.pitt.edu/id/eprint/24652

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